How AI(Explainable) works? - Speaks Ex. Microsoft #Shorts | Intellipaat

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Get ready to explore the world of artificial intelligence with our upcoming brand-new Intellipaat Podcast episode focusing on whether Is AI going to take over our Jobs?

Check out this link and learn more: https://youtu.be/uj0s9_zMwas

Our esteemed guest, Mr. Srinath Sivalenka, a former Microsoft employee, will help us understand Explainable AI algorithms, which make it easier to know how AI systems reach certain decisions. In this video, you'll learn why researchers are focusing a lot on explainable AI. Also, you'll find out how this field is going to answer concerns raised by the general population about machines making smart decisions.

What is Explainable AI?
Explainable AI is a collection of tools and frameworks that are natively linked with a number of Google products and services to assist you in comprehending and interpreting predictions provided by your machine learning models. With it, you may debug models, enhance their performance, and aid in the behavioral understanding of others.

What are explainable AI examples?
With explainable AI, you can increase trust between people and robots by revealing how decisions are made by AI systems. Healthcare (diagnostics), manufacturing (assembly lines), and defense (military training) are among the application cases where explainable AI has been applied.

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